Your LLM Can Return Perfect JSON and Still Be Wrong
What I learned after thinking more carefully about Structured Outputs on messy, incomplete data
The post Your LLM Can Return Perfect JSON and Still Be Wrong appeared first on Towards Data Science.
What I learned after thinking more carefully about Structured Outputs on messy, incomplete data
The post Your LLM Can Return Perfect JSON and Still Be Wrong appeared first on Towards Data Science.
Enterprise Document Intelligence [Vol.1 #B2] - The FAQ inverts every brick of the standard RAG pipeline. Parsing is trivial, retrieval doubles as a cache, and few-shot prompting becomes a retrieval problem too
The post FAQ as RAG: When You Get to Design the Corpus appeared first on Towards Data Science.
A framework for building RAG pipelines that introduces complexity in response to observed failure modes, from lexical and hybrid search to reranking and agentic information seeking
The post Why RAG Complexity Should Be Earned appeared first on Towards Data Science.
The five MLOps monitoring assumptions agents break, and which inherited signals now pass failed runs as healthy.
The post AgentOps Is Not MLOps: What Breaks in Your Monitoring Stack When Agents Go to Production appeared first on Towards Data Science.